Application of Improved Genetic Algorithm in Path Optimization of Emergency Logistics

According to the characteristics of Emergency Logistics, the path optimization model based on hard time window was established and solved by using improved genetic algorithm. The initial population generation, fitness function to determine encoding methods and genetic operator selection were presented and the algorithm running processes was given. The computer simulation shows that the improved genetic algorithm has a better path selection and faster delivery time compared with simple genetic algorithm.